Methods and Models in Mathematical Biology

Deterministic and Stochastic Approaches

Nonfiction, Science & Nature, Mathematics, Applied, Science, Biological Sciences
Cover of the book Methods and Models in Mathematical Biology by Johannes Müller, Christina Kuttler, Springer Berlin Heidelberg
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Author: Johannes Müller, Christina Kuttler ISBN: 9783642272516
Publisher: Springer Berlin Heidelberg Publication: August 13, 2015
Imprint: Springer Language: English
Author: Johannes Müller, Christina Kuttler
ISBN: 9783642272516
Publisher: Springer Berlin Heidelberg
Publication: August 13, 2015
Imprint: Springer
Language: English

This book developed from classes in mathematical biology taught by the authors over several years at the Technische Universität München. The main themes are modeling principles, mathematical principles for the analysis of these models and model-based analysis of data. The key topics of modern biomathematics are covered: ecology, epidemiology, biochemistry, regulatory networks, neuronal networks and population genetics. A variety of mathematical methods are introduced, ranging from ordinary and partial differential equations to stochastic graph theory and  branching processes. A special emphasis is placed on the interplay between stochastic and deterministic models.

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This book developed from classes in mathematical biology taught by the authors over several years at the Technische Universität München. The main themes are modeling principles, mathematical principles for the analysis of these models and model-based analysis of data. The key topics of modern biomathematics are covered: ecology, epidemiology, biochemistry, regulatory networks, neuronal networks and population genetics. A variety of mathematical methods are introduced, ranging from ordinary and partial differential equations to stochastic graph theory and  branching processes. A special emphasis is placed on the interplay between stochastic and deterministic models.

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